Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
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Milind Tambe | Bistra N. Dilkina | Bryan Wilder | Milind Tambe | B. Dilkina | B. Wilder | Bryan Wilder
[1] Rishabh K. Iyer,et al. Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization , 2014, UAI.
[2] Stefanie Jegelka,et al. Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets , 2014, NIPS.
[3] Dimitris Bertsimas,et al. Optimal classification trees , 2017, Machine Learning.
[4] Bo An,et al. Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security , 2016, AAAI.
[5] Priya L. Donti,et al. Task-based End-to-end Model Learning in Stochastic Optimization , 2017, NIPS.
[6] A. Greenberg,et al. Cope: Traffic Engineering in Dynamic Networks , 2022 .
[7] Milind Tambe,et al. Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games , 2015, GameSec.
[8] Gautam Biswas,et al. Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model , 2017, AAMAS.
[9] George L. Nemhauser,et al. Learning to Run Heuristics in Tree Search , 2017, IJCAI.
[10] Andreas Krause,et al. Differentiable Learning of Submodular Models , 2017, NIPS 2017.
[11] Carla P. Gomes,et al. Avicaching: A Two Stage Game for Bias Reduction in Citizen Science , 2016, AAMAS.
[12] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[13] Hiroya Takamura,et al. Text Summarization Model based on Maximum Coverage Problem and its Variant , 2008 .
[14] Umesh Bellur,et al. Improved Matchmaking Algorithm for Semantic Web Services Based on Bipartite Graph Matching , 2007, IEEE International Conference on Web Services (ICWS 2007).
[15] Takuro Fukunaga,et al. Threshold Influence Model for Allocating Advertising Budgets , 2015, ICML.
[16] Andreas Krause,et al. Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains , 2016, AISTATS.
[17] E. Horvitz. From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare , 2010 .
[18] John Langford,et al. The offset tree for learning with partial labels , 2008, KDD.
[19] M. R. Rao,et al. Combinatorial Optimization , 1992, NATO ASI Series.
[20] Craig Boutilier,et al. Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets , 2010, NIPS.
[21] Noga Alon,et al. Optimizing budget allocation among channels and influencers , 2012, WWW.
[22] Zheng Wen,et al. Optimal Greedy Diversity for Recommendation , 2015, IJCAI.
[23] Andreas Krause,et al. Differentiable Submodular Maximization , 2018, IJCAI.
[24] Michael I. Jordan,et al. How to Escape Saddle Points Efficiently , 2017, ICML.
[25] Claire Cardie,et al. SparseMAP: Differentiable Sparse Structured Inference , 2018, ICML.
[26] Lifu Tu,et al. Learning Approximate Inference Networks for Structured Prediction , 2018, ICLR.
[27] Adam N. Elmachtoub,et al. Smart "Predict, then Optimize" , 2017, Manag. Sci..
[28] Amin Karbasi,et al. Gradient Methods for Submodular Maximization , 2017, NIPS.
[29] Justin Domke,et al. Generic Methods for Optimization-Based Modeling , 2012, AISTATS.
[30] Yair Zick,et al. Diversity Constraints in Public Housing Allocation , 2017, AAMAS.
[31] Le Song,et al. 2 Common Formulation for Greedy Algorithms on Graphs , 2018 .
[32] Anoop Cherian,et al. On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization , 2016, ArXiv.
[33] Jan Vondrák,et al. Maximizing a Monotone Submodular Function Subject to a Matroid Constraint , 2011, SIAM J. Comput..
[34] Navdeep Jaitly,et al. Pointer Networks , 2015, NIPS.
[35] Lise Getoor,et al. Collective Classification in Network Data , 2008, AI Mag..
[36] Ken-ichi Kawarabayashi,et al. Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm , 2014, ICML.
[37] Andrew McCallum,et al. End-to-End Learning for Structured Prediction Energy Networks , 2017, ICML.
[38] Vipin Kumar,et al. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs , 1998, SIAM J. Sci. Comput..
[39] Sreenivas Gollapudi,et al. Diversifying search results , 2009, WSDM '09.
[40] Eric Horvitz,et al. From Data to Knowledge to Action: A Global Enabler for the 21st Century , 2020, ArXiv.
[41] J. Zico Kolter,et al. OptNet: Differentiable Optimization as a Layer in Neural Networks , 2017, ICML.